Apexon, a Santa Clara-based technology services firm, has expanded its AgentRise agentic AI platform with three new components designed to address the high failure rate of AI pilot projects.
Gartner projected that more than 40% of agentic projects will be abandoned by the end of 2027 due to costs and weak business cases.
The new tools — Polaris, Lodestone, and Harness — target different stages of AI development, from project selection through production deployment, and aim to help enterprises move beyond experimentation to scalable AI execution.
What happened
Santa Clara-based Apexon expanded its AgentRise agentic AI platform with three new components — Polaris (for project prioritization and roadmapping), Lodestone (for enterprise knowledge layers), and Harness (for embedding AI across software development). The additions map to three disciplines: Domain & Strategy, Cognitive Architecture, and Harness Engineering.
Why it matters
Gartner predicted in June 2025 that more than 40% of agentic AI projects will be scrapped by the end of 2027, citing costs and unproven business cases. Apexon's CEO stated that too many AI pilots never reach production, and the new platform is designed to move clients from AI experimentation to enterprise-scale execution.
What to watch
AgentRise first launched in July 2025 with client results showing a 40% cut in processing time and 30% reduction in workloads. Pricing and availability for the three new additions have not been disclosed.
Santa Clara-based Apexon Inc. announced expansions to AgentRise, its agentic artificial intelligence platform, introducing three new components: AgentRise Polaris, AgentRise Lodestone, and AgentRise Harness. Each component addresses a distinct discipline in enterprise AI work.
Polaris focuses on strategic planning, helping companies evaluate which AI projects merit funding and convert business goals into execution roadmaps. Apexon emphasizes designing these roadmaps as near-term waypoints rather than multiyear commitments. Lodestone handles the architecture layer, constructing what Apexon calls an AI-ready enterprise knowledge layer by connecting data, institutional knowledge, and business context so AI agents can access this foundation at the moment decisions are made. Harness addresses the engineering side, embedding AI across the software development lifecycle through Golden Paths and delivery teams called Agentic Pods, with governance and oversight integrated throughout build, test, and deployment.
The timing of this expansion reflects a pressing industry challenge. Gartner Inc. predicted in June 2025 that more than 40% of agentic AI projects will be scrapped by the end of 2027, citing both high costs and business cases that never proved out. In announcing the release, Apexon Chief Executive Sriniketh Chakravarthi emphasized that too many AI pilots fail to reach production. He framed the three disciplines as central to the future of enterprise software development and positioned the expanded platform as a tool to move clients "from AI experimentation to enterprise-scale execution."
The original AgentRise platform launched in July 2025, combining Apexon's own models, domain frameworks, and third-party tools under a shared security and governance layer. At launch, Apexon published client results showing a 40% reduction in processing time and 30% reduction in workloads. The three new components extend the platform into what Apexon now describes as the full enterprise AI lifecycle. Pricing and availability details for Polaris, Lodestone, and Harness have not been disclosed.
Apexon's expansion of AgentRise addresses a critical gap in enterprise AI adoption. The underlying problem is well-documented: Gartner's June 2025 forecast that more than 40% of agentic projects will be abandoned by the end of 2027 reveals that organizations struggle to move AI pilots from proof-of-concept stages into production. The reasons cited — costs and unproven business cases — suggest that many companies lack the strategic frameworks and engineering discipline to justify and execute AI initiatives at scale. By structuring the platform around three disciplines (strategy selection, knowledge architecture, and development embedding), Apexon is attempting to codify the exact processes that separate successful AI deployments from failed ones. The original AgentRise platform, launched in July 2025, already demonstrated measurable improvements in client work (40% processing time reduction, 30% workload decrease), validating the core approach. The three new additions extend this into what the company now frames as the full enterprise AI lifecycle — effectively closing the gap between experimentation and operational deployment.
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